Data Architect

Job SummaryWe are seeking an experienced Azure/AWS Data Architect to lead the design and implementation of secure, scalable, and high-performance data platforms. This role is responsible for defining end-to-end architecture across Azure, AWS, Microsoft Fabric, and Databricks, enabling advanced analytics, AI, and business intelligence capabilities.The ideal candidate will have strong expertise in modern data lakehouse architectures, AWS/Azure deployments, and infrastructure automation, with the ability to translate business requirements into robust, production-ready solutions.Key ResponsibilitiesArchitecture & DesignDesign and implement modern data platform architectures using:Azure: Data Lake Gen2, Synapse Analytics, Data FactoryMicrosoft Fabric: OneLake, Dataflows Gen2, Pipelines, Direct Lake, Semantic ModelsDatabricks: Data engineering, ML, and real-time analyticsAWS: Glue, Athena, Redshift, EMR, RDS, Kinesis, S3, LambdaDefine enterprise lakehouse and warehouse architectures, including medallion (Bronze/Silver/Gold) patternsBuild end-to-end pipelines (ingestion → transformation → modeling → serving)Design Power BI solutions with Direct Lake, Lakehouse, or Warehouse connectivityGovernance & SecurityDefine data governance, security, and compliance frameworks in collaboration with IT security teams.Collaborate with governance teams to integrate Microsoft Purview for data cataloging, classification, lineage, and sensitivity labeling.Define and enforce RBAC, managed identity access, private endpoint strategy, and DLP policies across all data services.Ensure compliance with regulatory frameworks such as GDPR, PDPA, or HIPAAPerformance & Cost OptimisationOptimise performance and cost by selecting appropriate storage and compute SKUs, caching, partitioning, and workload management strategies.Implement real-time ingestion and streaming solutions using Real-Time Hub and Event Streams in Fabric.Infrastructure as Code & Cloud DeploymentDesign and deploy cloud infrastructure using Terraform (mandatory)Implement end-to-end infrastructure provisioning, including:Data services (Fabric, Databricks, Synapse, Glue, Redshift, etc.)Networking (VNet/VPC, subnets, routing, firewalls, private endpoints)Security (IAM roles, Key Vault / Secrets Manager, encryption, policies)Build and maintain CI/CD pipelines using Azure DevOps or GitHub ActionsEnsure environments are repeatable, version-controlled, and production-readyCollaboration & LeadershipWork closely with Data Engineers, BI Developers, Data Scientists, and Business Analysts to translate business requirements into technical designs.Mentor technical teams in implementing best practices for data architecture, DevOps, and CI/CD automation.Participate in cloud transformation initiatives, migrations, and legacy modernization projects.Required Skills and ExperienceCore Technical SkillsAzure Services: Synapse Analytics, Data Factory, Data Lake Gen2, Key Vault, Monitor, Purview, Event Hub, Functions, Storage Accounts, Private DNSMicrosoft Fabric: OneLake, Pipelines, Notebooks, Semantic Models, Real-Time Hub, Data ActivatorDatabricks: Delta Lake, Unity Catalog, MLflow, Delta Live Tables, Job Clusters, NotebooksAWS Services: AWS Glue, Athena, RDS, Kinesis, etcPower BI: Advanced DAX, deployment pipelines, pbip projects, dataset modelingSecurity: Private Endpoints, RBAC, Managed Identity, network isolation, Purview integrationInfrastructure-as-Code: Terraform, ARM Templates, Azure DevOps or GitHub Actions for CI/CDAdded advantage: experience with implementing AI/ML services in Azure/AWS or DatabricksExperienceMinimum 5 years in data architecture or equivalent rolesAt least 5 years of experience in Azure data stackHands-on experience with Microsoft Fabric and production workloads in DatabricksProven experience implementing secure and governed enterprise data platformsPreferred CertificationsMicrosoft Certified: Azure Solutions Architect ExpertMicrosoft Certified: Fabric Analytics Engineer AssociateDatabricks Certified Data Engineer (Associate/Professional)Microsoft Certified: Azure Data Engineer AssociateSoft SkillsStrong communication and stakeholder management skillsAnalytical mindset with a problem-solving attitudeFamiliarity with Agile and DevOps methodologiesAbility to work across cross-functional teams in multi-cloud or hybrid environments